空中演習 的英文怎麼說
中文拼音 [kōngzhōngyǎnxí]
空中演習
英文
air maneuver-
Virtual reality technology can provide " participants " with a feeling of being personally on the scene. as a main actor in the virtual environment, userscan control any objects in the virtual environment arbitrarily and can get reaction in time. in the hyperspace of the information, he can get acknowledge with their own percipience and cognition, and, seek the solutin, and form the new conception. the association of the virtual reality technology and java technology intensify the interaction between the users and viryual reality technology. with the interface provided by java, the user can control any objecs and change the attributes ( such as position, angle, color and etc. ). this paper formulizes application of the virtual reality technology in the system of the building seilling which uses the real three dimensions models to replace of static picture ' s and word ' s description. in the process of the practice, the paper analyses the difference between javascript, java claa and java applet, and formulize the their applications in this system
用戶在多維信息空間中，依靠自己的感知和認知能力全方位地獲取知識，發揮主觀能動性，尋求解答，形成新的概念。虛擬現實技術與java技術的結合增加了虛擬現實技術與用戶的交互功能，用戶可以通過java提供的界面，操縱場景中的任何物體，並改變相應的屬性（如：位置，角度，顏色等等） 。本篇論文闡述了虛擬現實技術應用在售樓系統中，用真實的三維模型來代替原有的靜態圖片及文字描述，在實踐過程中，分析了javascript ， java類，及javaapplet實現功能中的利弊，分別闡述了它們在本系統中的應用，從理論上講，本課題所研究的虛擬現實技術不只適用於售樓系統的電子商務中，同樣可用於軍事和演習、醫學、教育、娛樂和工程設計等領域。Traveler justine shapiro begins her stay in one of the world ' s gastronomic erters learning the secrets of french haute cuisine. the following day she takes in the sites on foot before enjoying a traditional parisian cabaret. after an expensive shopping trip she spends her final day taking in the famous galleries and museums ending at the louvre, home of the mona lisa
在本輯節目中，我們將與賈思汀?夏皮羅一起徙步瀏覽這個充滿魅力的現代大都市，我們將在巴黎一所世界級烹飪中心學習法式大紫色的烹飪秘訣，在巴黎美麗迷人的夜空下享受傳統盛大的歌舞表演，在經歷完一次昂貴而刺激的瘋狂購物之後，細細參觀市區著名的畫廊與博物館，最後進入蒙娜麗莎的故鄉- - -舉世聞名的盧浮宮，一睹諸多世界藝術珍品的真實面目。The drills included rescue rubber dinghies moving in formation, a vertical landing by a rescue helicopter, evacuation of victims by amphibious vehicles, saving people in rapid water through the use of rubber dinghies, vertical evacuation of victims, use of a rope - gun, setting up a rope - bridge over a valley or stream, vertical descent from great heights, and a display of advanced earthquake rescue equipment
演習的項目包括救生橡皮艇水上分列式直升機垂降救援水陸兩用車撤離災民橡皮艇急流水中救援垂直地形傷患拖吊拋繩槍救援溪谷單索吊橋架設高空垂降，及多項先進的地震救援裝配靜態展示。A sea sar demonstration by the diving unit from the fire services department ( fsd ) followed immediately. the exercise ended with an aerial search demonstration by a z9 helicopter from pla
最後，駐香港部隊派出一架直九直升機進行空中搜索示範，結束整項短程演習。The two countries practised blockades, capturing airfields and amphibious landings
演習內容包括海上封鎖，空中奪權和兩棲登陸。Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce
因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。As well as a missile launch, yesterday ' s flight involved mid - air refuelling and a low - level pass just 200 yards above the sea ' s surface at 560mph
除了導彈發射，昨天普京總統還參加了空中加油、超低空飛行等軍事演習，飛機曾經以560英里每小時的速度在高出海平面僅200米的地方飛過。The exercise this year will consist of a static display of search and rescue aircraft consisting of a c130 of the united states coast guard, a p3 of the united states navy, a c9 of the united states air force and a super king air and sikorsky helicopters of the government flying service and a search and rescue symposium by various participating units and a long range exercise in the south china sea
今年之演習活動內容包括來自美國海岸防衛隊之大力士型（ c130 ）飛機，美國海軍之p3型飛機、美國空軍之c9型飛機、政府飛服務隊之s76及h60型直升機及空中霸王（ be20 ）飛機作展，由參與單位舉行之搜索及拯救研討會，及於南中國海舉行之長程搜索演習。Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the
3 、將jerk模型與強跟蹤濾波演算法有機地結合，並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法，以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇，同時根據多傳感器數據融合具有改善濾波精度的性質，進而給出一種基於jerk模型的多傳感器數據融合演算法。It not only could solve the problem of learning on the incremental data sets, but also could considerably reduce the size of traditional decision matrix and avoid the repeated computation in traditional decision matrix algorithm
這不僅解決了動態數據環境下歸納學習問題，而且能降低矩陣空間規模，避免了傳統決策矩陣演算法中的重復計算。Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved
在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。In addition to basic maritime combat skills, the 2001 exercises demonstrated efforts to conduct joint amphibious operations combined with missile and air strikes against key targets, such as airfields, naval ports and command centers. china continued to build and exercise its force of short - range ballistic missiles ranging taiwan
除基本的海上作戰技術外， 2001年的演習顯示出以導彈和空中打擊相配合，對機場、海軍港口和指揮中心等關鍵目標採取聯合兩棲作戰行動的努力。The problems identified during this exercise will need resolution, to include updating aep, better coordination of unified incident command system, closely monitoring memphis fire training in dealing with response to aviation incidents, and station # 33 ( arff ) training to better understand safe and efficient use of apparatus in emergency situations
在此次演習中觀察結果到的問題將需要解決，包括更新的機場應急計劃，更好的統一事故指揮系統的協調，進一步督導孟菲斯消防對于航空事故反應的培訓，以及加強對第33小隊（飛機救援消防）的培訓，使其更好的了解緊急狀況下對于器材安全而高效的使用。Classification has always been a central issue on data mining, machine learning and pattern recognition, classifier, as an important model and method of machine learning and data mining, is very important to the development and application of machine learning and the data mining. the classifier ’ s effect closely correlates with the characteristic of data sets, at present, the construction of classifier is generally based on the character of different datasets, there is no such a classifier which is suitable for any data sets. under uncertain conditions, the bayes network is a powerful tools for the knowledge expression and inference, but for difficulties in constructing its network structure and very high time complexity, it has not been considered as a classifier algorithm until the emergence of na ? ve - bayes classifier
分類一直是數據挖掘、機器學習和模式識別等研究的核心問題，貝葉斯網路是作為知識表示和推理的強大工具，由於搜索空間巨大和學習困難的原因，直到樸素貝葉斯理論的出現才被作為分類器演算法，改進樸素貝葉斯分類器是貝葉斯分類器學習的一個主要的研究方向。遺傳演算法本質上是一種求解問題的高效并行全局搜索演算法，適合應用於那些改進的分類器的結構學習中。本文提出了一種基於遺傳演算法的ban分類器演算法。Based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space. in this paper, a pattern match learning algorithm of bnns is proposed. when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out
另一個研究成果是在分析線性可分和樣本連通性關系的基礎上，以mis問題為例，討論了抑制神經元在二進神經網路規則提取中的獨特作用，提出了二進神經網路的模式匹配學習演算法，採用這種演算法對布爾空間的樣本集合進行學習，得到的二進神經網路隱層神經元都歸屬於一類或幾類線性可分結構系，只要這幾類線性可分結構系的邏輯意義是清晰的，就可以分析整個學習結果的知識內涵。Among the arithmetic of air - fuel control, self - learning, self - adapting and self - correction can meet control demand but they also need on - line identifying of object model. they are complicated and need vast operation so they are difficult to realize and need lots of gantry experiments, taking time and hard sledding, which lead to their application success rate under people ' s expectation
在空燃比控制演算法中，採用自學習、自適應、自校正控制雖然能達到控制要求，但其本質上仍然要求對象模型的在線識別，故演算法復雜，運算量大，難于實現，並需要進行大量的臺架試驗，費時、費力，致使它們的應用成功率遠不如人們期望的那麼高。When the network dataset is very large, conventional support vector machine learning algorithm is remarkably slow. by contrast the proposed algorithm based on space block and sample density is fast. it was applied in intrusion detection in this pap.
針對網路數據集過于龐大，學習速度過慢的問題，提出了一種基於空間塊和樣本密度的svm演算法，並將其應用到入侵檢測中。Svm is a kind of universal learning algorithm, which developed from statistical learning theory, that is, small sample learning theory proposed by vapnik. it can represent complicated functions especially in high dimensions, which can avoid the trouble of the dimension tragedy that happened in general algorithm. it also will not affect the system performance by using original data of the array for the eigenvector directly
支持向量機是由vapnik等人提出的小樣本統計理論? ?統計學習理論發展而來的一種新的通用學習演算法，特別在高維空間中表示復雜函數，避免了常規演算法「維數災難」等麻煩問題，可直接用陣列原始數據作為特徵向量而不影響系統性能。He is reportedly busy polishing his opera skills, sparing time from another film in production which is directed by hong kong ' s ching siu - tung
據說他正在練習京劇技巧，還利用空閑時間投入到另一部由香港程曉東導演的電影製作中。In this paper, a new type neural network construction and algorithm was studied. based on this, the neural network was applied as controller to the single loop and the double loops of aero engine in steady state. by the way, elementary study was applied for the aero engine transient state control
本文研究了新型神經網路的結構和學習演算法，並在此基礎上，研究了將神經網路用於航空發動機單迴路和雙迴路穩態控制問題，並初步研究了航空發動機單迴路過渡態控制中神經網路的適用性。分享友人